{"id":"W86286466","doi":"","title":"\"Seeking Refugee. Central American Migration to Mexico, the United States and Canada\" de María Cristina Gracía","year":2006,"lang":"es","type":"article","venue":"Migraciones internacionales","topic":"Migration, Health, Geopolitics, Historical Geography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refugee; Political science; Immigration; Geography; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007490172,0.0004603389,0.0004447353,0.0004115393,0.001498749,0.0003055483,0.0006219088,0.0001389102,0.00006211207],"category_scores_gemma":[0.0004514206,0.0003992147,0.0001692589,0.001123594,0.0008732243,0.0001764296,0.0001288467,0.0004214092,0.00001851408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136284,"about_ca_system_score_gemma":0.0007524774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890049,"about_ca_topic_score_gemma":0.995518,"domain_scores_codex":[0.9954931,0.00082979,0.0008337168,0.0006605449,0.000954663,0.001228203],"domain_scores_gemma":[0.9972164,0.0008648194,0.0005073391,0.0003988245,0.0004502659,0.0005623506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001953803,0.0003158257,0.7209798,0.0001680692,0.0001252127,0.00003285564,0.0312177,0.001025743,0.0001277135,0.1132204,0.1301474,0.002443905],"study_design_scores_gemma":[0.0001548289,0.0001232151,0.2629529,0.0001397355,0.00006948879,0.00001150498,0.01003282,0.001162722,0.0000566904,0.002103461,0.72278,0.0004126412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465065,0.001313991,0.001439037,0.04876245,0.0007500979,0.0005094168,0.0002963154,0.00009411568,0.0003280939],"genre_scores_gemma":[0.9904923,0.002423399,0.0005900533,0.003512494,0.0009393656,0.00006261761,0.0002903186,0.00004377116,0.001645664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5926327,"threshold_uncertainty_score":0.999846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007790197783425688,"score_gpt":0.26603396290359,"score_spread":0.2582437651201643,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}